What are the responsibilities and job description for the Supply Chain & Data Analyst Manager/Director position at Vangst?
Supply Chain Logistics & Data Analyst
📍 California | Full-Time | Onsite/Travel Required (~10%)
We’re partnering with a top multi-state cannabis operator to hire a Supply Chain Logistics & Data Analyst. This company is one of the largest vertically integrated producers in California, overseeing cultivation, manufacturing, and distribution operations across multiple states. They are known for their high-quality flower products, innovative product development, and strong retail partnerships.
This role will be critical in driving operational excellence through data visibility, forecasting, and supply chain efficiency. If you thrive at the intersection of analytics and logistics — and love turning data into actionable strategy — this is a great opportunity to make a high-impact move in the cannabis industry.
What You’ll Do:
Data Analytics & Insights
- Analyze cross-functional supply chain data (ERP, WMS, production, logistics, sales)
- Identify operational bottlenecks and drive cost, efficiency, and workflow improvement initiatives
Reporting & Visualization
- Build dashboards and KPI reporting (inventory turns, fill rates, OTIF performance, yields)
- Deliver insights to leadership to support strategic decisions
Sales & Operations Planning (S&OP)
- Support demand planning, capacity alignment, and material requirement planning
- Bridge the gap between sales forecasting and production planning
Forecasting
- Utilize historical and market trends to plan production and supply strategies
- Collaborate with cross-functional teams to refine demand forecasting accuracy
Cross-Functional Collaboration
- Work closely with procurement, logistics, production, IT, and other operational partners
- Support automation and digital transformation initiatives
Vendor & Logistics Management
- Track supplier and logistics partner performance to ensure SLAs and cost targets are met
Project Leadership
- Lead supply chain improvement projects related to warehouse optimization, inventory accuracy, and routing efficiencies
What You’ll Bring:
Technical Expertise
- ERP proficiency (SAP, NetSuite, or similar)
- Strong analytical skills with advanced Excel and dashboarding tools (Power BI/Tableau)
- SQL or Python knowledge a strong plus
Supply Chain Knowledge
- Understanding of procurement, production, inventory control, and logistics
- Experience in regulated manufacturing or high-velocity consumer goods preferred
Communication Skills
- Ability to clearly translate complex data to operational and executive stakeholders
Background
- Bachelor’s degree in Supply Chain, Industrial Engineering, Business Analytics, or related field
- 3–5 years in supply chain analytics, logistics, or operations
- Lean Six Sigma or APICS/CSCP certification is a plus
Why This Role
- Major impact role within a rapidly scaling cannabis organization
- Data-driven culture — your insights shape the supply chain strategy
- Competitive compensation benefits
- Opportunities for career growth as operations expand nationally
Equal Opportunity
This employer is an Equal Opportunity Employer, drug-free workplace, and supports ADA workplace accommodations. Responsibilities and business needs may evolve with organizational changes.
About Vangst
Vangst is the cannabis industry’s hiring platform, helping the top cannabis companies across the country find the talent they need to grow their business. From on-demand gig workers to credentialed full-time employees, Vangst is proud to be the industry’s go-to talent marketplace.
We’ve partnered with 1,200 cannabis businesses and connected thousands of professionals with exciting opportunities. Recognized by Fast Company as one of the Most Innovative Companies, Vangst is on a mission to fill every job in the cannabis industry.
📍 Headquartered in Denver, CO
🌎 Backed by Lerer Hippeau, Colle Capital, Casa Verde Capital & more
đź’ˇ Ready to take the next step in your career? Apply today through LinkedIn and help shape the future of cannabis operations.